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Job request: 3691

Organisation:
NHSE/I
Workspace:
carehomeprescribing
ID:
vwn4qeanx523u4y6
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Greg Eydmann requested one or more actions to be run against real patient data within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

  • Action:
    generate_study_population
    Status:
    Status: Succeeded
    Job identifier:
    esrdiakgerlflikz
  • Action:
    generate_measures
    Status:
    Status: Succeeded
    Job identifier:
    ctdnswpctxg5ys24
  • Action:
    describe
    Status:
    Status: Failed
    Job identifier:
    s43tps3pnwo3dozy
    Error:
    nonzero_exit: Job exited with an error code

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 10000

actions:

  generate_study_population:
    run: cohortextractor:latest generate_cohort --index-date-range "2019-09-01 to 2020-09-01 by month" --study-definition study_definition
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv


  # generate_study_population_ethnicity:
    # run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output
    # outputs:
      # highly_sensitive:     
        # cohort: output/input_ethnicity.csv
        

  # join_ethnicity:
    # run: python:latest python analysis/join_ethnicity.py
    # needs: [generate_study_population, generate_study_population_ethnicity]
    # outputs:
      # highly_sensitive:
        # cohort: output/input*.csv
        
          ## Generate measures
  generate_measures:
      run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
      needs: [generate_study_population]
      outputs:
        moderately_sensitive:
          measure_csv: output/measure_*.csv
          
        
  describe:
    run: python:latest python analysis/descriptives.py
    needs: [generate_study_population, generate_measures]
    outputs:
      moderately_sensitive:
        cohort: output/*.html
        tables: output/*.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:47:04

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job request

Status
Failed
Backend
TPP
Workspace
carehomeprescribing
Requested by
Greg Eydmann
Branch
main
Force run dependencies
No
Git commit hash
3c5f880
Requested actions
  • generate_study_population
  • generate_measures
  • describe

Code comparison

Compare the code used in this job request